An algorithm scanned 78 million genetic variants and found patterns that shouldn't exist. Most human DNA tells a familiar story—but some of it defies explanation. Researchers discovered genetic ...

Present-day Faroese genomes reveal ancestry, bottleneck history, and signatures of selection, and offer a foundation for understanding the genetic architecture of health and disease in this North ...

The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning ...

Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor ...

The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...

Abstract: Machine learning-based intrusion detection system (IDS) is an important requirement for securing data traffic in wireless mesh networks. The noisy and redundant features of network data tend ...

Modern humans descended from not one, but at least two ancestral populations that drifted apart and later reconnected, long before modern humans spread across the globe. Modern humans descended from ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

Generative design is a new way to create and build things that helps us make complicated and creative shapes that are hard to make with traditional methods. In simple words, it uses computer programs ...

Abstract: Essential proteins play a vital role in the preparation of antibiotics, disease diagnosis, and understanding the structure of an organism. It is crucial for cell survival and is associated ...